Software Salaries Auto EDA

Brought to you by YData

Dataset statistics

Number of variables	18
Number of observations	100000
Missing cells	243984
Missing cells (%)	13.6%
Duplicate rows	9384
Duplicate rows (%)	9.4%
Total size in memory	48.9 MiB
Average record size in memory	512.6 B

Variable types

Categorical	9
Numeric	7
Unsupported	2

Alerts

Dataset has 9384 (9.4%) duplicate rows	Duplicates
`adjusted_total_usd` is highly overall correlated with `base_salary` and 2 other fields	High correlation
`base_salary` is highly overall correlated with `adjusted_total_usd` and 3 other fields	High correlation
`conversion_rate` is highly overall correlated with `currency`	High correlation
`currency` is highly overall correlated with `conversion_rate`	High correlation
`employment_type` is highly overall correlated with `adjusted_total_usd` and 1 other fields	High correlation
`experience_level` is highly overall correlated with `adjusted_total_usd` and 2 other fields	High correlation
`salary_in_usd` is highly overall correlated with `total_salary`	High correlation
`total_salary` is highly overall correlated with `base_salary` and 2 other fields	High correlation
`experience_level` has 20000 (20.0%) missing values	Missing
`employment_type` has 23984 (24.0%) missing values	Missing
`education` has 100000 (100.0%) missing values	Missing
`skills` has 100000 (100.0%) missing values	Missing
`education` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`skills` is an unsupported type, check if it needs cleaning or further analysis	Unsupported
`years_experience` has 4664 (4.7%) zeros	Zeros

Reproduction

Analysis started	2025-07-06 08:29:54.533558
Analysis finished	2025-07-06 08:30:20.246330
Duration	25.71 seconds
Software version	ydata-profiling vv4.16.1
Download configuration	config.json

job_title
Categorical

Distinct	12
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	6.8 MiB

Data Analyst	16857
DevOps Engineer	16764
Research Scientist	16552
Sofware Engneer	5755
Software Engr	5622
Other values (7)	38450

Length

Max length	21
Median length	18
Mean length	14.09439
Min length	7

Characters and Unicode

Total characters	1409439
Distinct characters	26
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Data Analyst
2nd row	DevOps Engineer
3rd row	Research Scientist
4th row	Software Engr
5th row	Software Engr

Common Values

Value	Count	Frequency (%)
Data Analyst	16857	16.9%
DevOps Engineer	16764	16.8%
Research Scientist	16552	16.6%
Sofware Engneer	5755	5.8%
Software Engr	5622	5.6%
Dt Scientist	5574	5.6%
Softwre Engineer	5574	5.6%
Data Scienist	5564	5.6%
ML Engr	5512	5.5%
Data Scntist	5499	5.5%
Other values (2)	10727	10.7%

Length

Histogram of lengths of the category

Value	Count	Frequency (%)
data	27920	13.6%
engineer	22338	10.9%
scientist	22126	10.8%
analyst	16857	8.2%
devops	16764	8.2%
research	16552	8.1%
engr	16416	8.0%
ml	10957	5.3%
engneer	5755	2.8%
sofware	5755	2.8%
Other values (8)	43842	21.4%

Most occurring characters

Value	Count	Frequency (%)
e	166704	11.8%
n	149384	10.6%
t	122361	8.7%
a	111190	7.9%
	105282	7.5%
i	99226	7.0%
r	88739	6.3%
s	83362	5.9%
g	55236	3.9%
c	55023	3.9%
Other values (16)	372932	26.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	1409439	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
e	166704	11.8%
n	149384	10.6%
t	122361	8.7%
a	111190	7.9%
	105282	7.5%
i	99226	7.0%
r	88739	6.3%
s	83362	5.9%
g	55236	3.9%
c	55023	3.9%
Other values (16)	372932	26.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	1409439	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
e	166704	11.8%
n	149384	10.6%
t	122361	8.7%
a	111190	7.9%
	105282	7.5%
i	99226	7.0%
r	88739	6.3%
s	83362	5.9%
g	55236	3.9%
c	55023	3.9%
Other values (16)	372932	26.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	1409439	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
e	166704	11.8%
n	149384	10.6%
t	122361	8.7%
a	111190	7.9%
	105282	7.5%
i	99226	7.0%
r	88739	6.3%
s	83362	5.9%
g	55236	3.9%
c	55023	3.9%
Other values (16)	372932	26.5%

experience_level
Categorical

High correlation Missing

Distinct	4
Distinct (%)	< 0.1%
Missing	20000
Missing (%)	20.0%
Memory size	5.9 MiB

Mid	20079
Senior	20063
Lead	19944
Junior	19914

Length

Max length	6
Median length	4
Mean length	4.7484375
Min length	3

Characters and Unicode

Total characters	379875
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Mid
2nd row	Mid
3rd row	Lead
4th row	Lead
5th row	Lead

Common Values

Value	Count	Frequency (%)
Mid	20079	20.1%
Senior	20063	20.1%
Lead	19944	19.9%
Junior	19914	19.9%
(Missing)	20000	20.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
mid	20079	25.1%
senior	20063	25.1%
lead	19944	24.9%
junior	19914	24.9%

Most occurring characters

Value	Count	Frequency (%)
i	60056	15.8%
d	40023	10.5%
e	40007	10.5%
n	39977	10.5%
o	39977	10.5%
r	39977	10.5%
M	20079	5.3%
S	20063	5.3%
L	19944	5.3%
a	19944	5.3%
Other values (2)	39828	10.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	379875	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
i	60056	15.8%
d	40023	10.5%
e	40007	10.5%
n	39977	10.5%
o	39977	10.5%
r	39977	10.5%
M	20079	5.3%
S	20063	5.3%
L	19944	5.3%
a	19944	5.3%
Other values (2)	39828	10.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	379875	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
i	60056	15.8%
d	40023	10.5%
e	40007	10.5%
n	39977	10.5%
o	39977	10.5%
r	39977	10.5%
M	20079	5.3%
S	20063	5.3%
L	19944	5.3%
a	19944	5.3%
Other values (2)	39828	10.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	379875	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
i	60056	15.8%
d	40023	10.5%
e	40007	10.5%
n	39977	10.5%
o	39977	10.5%
r	39977	10.5%
M	20079	5.3%
S	20063	5.3%
L	19944	5.3%
a	19944	5.3%
Other values (2)	39828	10.5%

employment_type
Categorical

High correlation Missing

Distinct	4
Distinct (%)	< 0.1%
Missing	23984
Missing (%)	24.0%
Memory size	6.2 MiB

Part-time	19146
Full-time	19129
Contract	18901
Intern	18840

Length

Max length	9
Median length	9
Mean length	8.0078273
Min length	6

Characters and Unicode

Total characters	608723
Distinct characters	16
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Contract
2nd row	Contract
3rd row	Full-time
4th row	Intern
5th row	Contract

Common Values

Value	Count	Frequency (%)
Part-time	19146	19.1%
Full-time	19129	19.1%
Contract	18901	18.9%
Intern	18840	18.8%
(Missing)	23984	24.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
part-time	19146	25.2%
full-time	19129	25.2%
contract	18901	24.9%
intern	18840	24.8%

Most occurring characters

Value	Count	Frequency (%)
t	114063	18.7%
e	57115	9.4%
r	56887	9.3%
n	56581	9.3%
i	38275	6.3%
m	38275	6.3%
-	38275	6.3%
l	38258	6.3%
a	38047	6.3%
P	19146	3.1%
Other values (6)	113801	18.7%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	608723	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
t	114063	18.7%
e	57115	9.4%
r	56887	9.3%
n	56581	9.3%
i	38275	6.3%
m	38275	6.3%
-	38275	6.3%
l	38258	6.3%
a	38047	6.3%
P	19146	3.1%
Other values (6)	113801	18.7%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	608723	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
t	114063	18.7%
e	57115	9.4%
r	56887	9.3%
n	56581	9.3%
i	38275	6.3%
m	38275	6.3%
-	38275	6.3%
l	38258	6.3%
a	38047	6.3%
P	19146	3.1%
Other values (6)	113801	18.7%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	608723	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
t	114063	18.7%
e	57115	9.4%
r	56887	9.3%
n	56581	9.3%
i	38275	6.3%
m	38275	6.3%
-	38275	6.3%
l	38258	6.3%
a	38047	6.3%
P	19146	3.1%
Other values (6)	113801	18.7%

company_size
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.9 MiB

Small	33538
Medium	33469
Large	32993

Length

Max length	6
Median length	5
Mean length	5.33469
Min length	5

Characters and Unicode

Total characters	533469
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Medium
2nd row	Small
3rd row	Medium
4th row	Large
5th row	Large

Common Values

Value	Count	Frequency (%)
Small	33538	33.5%
Medium	33469	33.5%
Large	32993	33.0%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
small	33538	33.5%
medium	33469	33.5%
large	32993	33.0%

Most occurring characters

Value	Count	Frequency (%)
l	67076	12.6%
m	67007	12.6%
a	66531	12.5%
e	66462	12.5%
S	33538	6.3%
M	33469	6.3%
d	33469	6.3%
i	33469	6.3%
u	33469	6.3%
L	32993	6.2%
Other values (2)	65986	12.4%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	533469	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
l	67076	12.6%
m	67007	12.6%
a	66531	12.5%
e	66462	12.5%
S	33538	6.3%
M	33469	6.3%
d	33469	6.3%
i	33469	6.3%
u	33469	6.3%
L	32993	6.2%
Other values (2)	65986	12.4%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	533469	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
l	67076	12.6%
m	67007	12.6%
a	66531	12.5%
e	66462	12.5%
S	33538	6.3%
M	33469	6.3%
d	33469	6.3%
i	33469	6.3%
u	33469	6.3%
L	32993	6.2%
Other values (2)	65986	12.4%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	533469	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
l	67076	12.6%
m	67007	12.6%
a	66531	12.5%
e	66462	12.5%
S	33538	6.3%
M	33469	6.3%
d	33469	6.3%
i	33469	6.3%
u	33469	6.3%
L	32993	6.2%
Other values (2)	65986	12.4%

company_location
Categorical

Distinct	6
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.9 MiB

UK	17087
Remote	16704
USA	16630
Canada	16558
India	16511

Length

Max length	7
Median length	6
Mean length	4.81761
Min length	2

Characters and Unicode

Total characters	481761
Distinct characters	18
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	Germany
2nd row	India
3rd row	Germany
4th row	India
5th row	Germany

Common Values

Value	Count	Frequency (%)
UK	17087	17.1%
Remote	16704	16.7%
USA	16630	16.6%
Canada	16558	16.6%
India	16511	16.5%
Germany	16510	16.5%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
uk	17087	17.1%
remote	16704	16.7%
usa	16630	16.6%
canada	16558	16.6%
india	16511	16.5%
germany	16510	16.5%

Most occurring characters

Value	Count	Frequency (%)
a	82695	17.2%
e	49918	10.4%
n	49579	10.3%
U	33717	7.0%
m	33214	6.9%
d	33069	6.9%
K	17087	3.5%
t	16704	3.5%
R	16704	3.5%
o	16704	3.5%
Other values (8)	132370	27.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	481761	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
a	82695	17.2%
e	49918	10.4%
n	49579	10.3%
U	33717	7.0%
m	33214	6.9%
d	33069	6.9%
K	17087	3.5%
t	16704	3.5%
R	16704	3.5%
o	16704	3.5%
Other values (8)	132370	27.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	481761	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
a	82695	17.2%
e	49918	10.4%
n	49579	10.3%
U	33717	7.0%
m	33214	6.9%
d	33069	6.9%
K	17087	3.5%
t	16704	3.5%
R	16704	3.5%
o	16704	3.5%
Other values (8)	132370	27.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	481761	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
a	82695	17.2%
e	49918	10.4%
n	49579	10.3%
U	33717	7.0%
m	33214	6.9%
d	33069	6.9%
K	17087	3.5%
t	16704	3.5%
R	16704	3.5%
o	16704	3.5%
Other values (8)	132370	27.5%

remote_ratio
Categorical

Distinct	3
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.6 MiB

50	33652
0	33274
100	33074

Length

Max length	3
Median length	2
Mean length	1.998
Min length	1

Characters and Unicode

Total characters	199800
Distinct characters	3
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	0
2nd row	100
3rd row	0
4th row	50
5th row	100

Common Values

Value	Count	Frequency (%)
50	33652	33.7%
0	33274	33.3%
100	33074	33.1%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
50	33652	33.7%
0	33274	33.3%
100	33074	33.1%

Most occurring characters

Value	Count	Frequency (%)
0	133074	66.6%
5	33652	16.8%
1	33074	16.6%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	199800	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
0	133074	66.6%
5	33652	16.8%
1	33074	16.6%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	199800	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
0	133074	66.6%
5	33652	16.8%
1	33074	16.6%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	199800	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
0	133074	66.6%
5	33652	16.8%
1	33074	16.6%

salary_currency
Categorical

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.7 MiB

GBP	20197
USD	20100
EUR	20006
INR	19864
CAD	19833

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	300000
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	INR
2nd row	GBP
3rd row	EUR
4th row	INR
5th row	INR

Common Values

Value	Count	Frequency (%)
GBP	20197	20.2%
USD	20100	20.1%
EUR	20006	20.0%
INR	19864	19.9%
CAD	19833	19.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
gbp	20197	20.2%
usd	20100	20.1%
eur	20006	20.0%
inr	19864	19.9%
cad	19833	19.8%

Most occurring characters

Value	Count	Frequency (%)
U	40106	13.4%
D	39933	13.3%
R	39870	13.3%
G	20197	6.7%
P	20197	6.7%
B	20197	6.7%
S	20100	6.7%
E	20006	6.7%
I	19864	6.6%
N	19864	6.6%
Other values (2)	39666	13.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
U	40106	13.4%
D	39933	13.3%
R	39870	13.3%
G	20197	6.7%
P	20197	6.7%
B	20197	6.7%
S	20100	6.7%
E	20006	6.7%
I	19864	6.6%
N	19864	6.6%
Other values (2)	39666	13.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
U	40106	13.4%
D	39933	13.3%
R	39870	13.3%
G	20197	6.7%
P	20197	6.7%
B	20197	6.7%
S	20100	6.7%
E	20006	6.7%
I	19864	6.6%
N	19864	6.6%
Other values (2)	39666	13.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
U	40106	13.4%
D	39933	13.3%
R	39870	13.3%
G	20197	6.7%
P	20197	6.7%
B	20197	6.7%
S	20100	6.7%
E	20006	6.7%
I	19864	6.6%
N	19864	6.6%
Other values (2)	39666	13.2%

years_experience
Real number (ℝ)

Zeros

Distinct	21
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	10.01073

Minimum	0
Maximum	20
Zeros	4664
Zeros (%)	4.7%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1
Q1	5
median	10
Q3	15
95-th percentile	19
Maximum	20
Range	20
Interquartile range (IQR)	10

Descriptive statistics

Standard deviation	6.0580824
Coefficient of variation (CV)	0.6051589
Kurtosis	-1.2126856
Mean	10.01073
Median Absolute Deviation (MAD)	5
Skewness	-0.0072859482
Sum	1001073
Variance	36.700362
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=21)

Value	Count	Frequency (%)
18	4986	5.0%
1	4953	5.0%
3	4944	4.9%
15	4943	4.9%
13	4891	4.9%
12	4856	4.9%
17	4849	4.8%
9	4847	4.8%
6	4827	4.8%
20	4794	4.8%
Other values (11)	51110	51.1%

Value	Count	Frequency (%)
0	4664	4.7%
1	4953	5.0%
2	4620	4.6%
3	4944	4.9%
4	4665	4.7%
5	4774	4.8%
6	4827	4.8%
7	4619	4.6%
8	4655	4.7%
9	4847	4.8%

Value	Count	Frequency (%)
20	4794	4.8%
19	4436	4.4%
18	4986	5.0%
17	4849	4.8%
16	4769	4.8%
15	4943	4.9%
14	4764	4.8%
13	4891	4.9%
12	4856	4.9%
11	4575	4.6%

base_salary
Real number (ℝ)

High correlation

Distinct	29893
Distinct (%)	29.9%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	273915.48

Minimum	-344.33716
Maximum	3121412.5
Zeros	0
Zeros (%)	0.0%
Negative	4
Negative (%)	< 0.1%
Memory size	781.4 KiB

Quantile statistics

Minimum	-344.33716
5-th percentile	32282.153
Q1	59139.57
median	92922.921
Q3	126053.91
95-th percentile	1971418.4
Maximum	3121412.5
Range	3121756.8
Interquartile range (IQR)	66914.345

Descriptive statistics

Standard deviation	609824.47
Coefficient of variation (CV)	2.2263235
Kurtosis	9.6115371
Mean	273915.48
Median Absolute Deviation (MAD)	33400.224
Skewness	3.2565324
Sum	2.7391548 × 10¹⁰
Variance	3.7188588 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
2464272.995	691	0.7%
2628557.862	685	0.7%
2299988.129	679	0.7%
985709.1981	679	0.7%
1478563.797	678	0.7%
1149994.065	675	0.7%
2135703.263	670	0.7%
2957127.594	667	0.7%
2792842.728	662	0.7%
1807133.53	662	0.7%
Other values (29883)	93252	93.3%

Value	Count	Frequency (%)
-344.337158	4	< 0.1%
7114.142105	3	< 0.1%
8012.344674	3	< 0.1%
8309.978998	2	< 0.1%
8414.665655	3	< 0.1%
9408.048384	4	< 0.1%
9530.895562	4	< 0.1%
9595.534428	3	< 0.1%
9691.15952	3	< 0.1%
9788.839675	4	< 0.1%

Value	Count	Frequency (%)
3121412.461	644	0.6%
2957127.594	667	0.7%
2792842.728	662	0.7%
2628557.862	685	0.7%
2464272.995	691	0.7%
2299988.129	679	0.7%
2135703.263	670	0.7%
1971418.396	661	0.7%
1807133.53	662	0.7%
1642848.664	650	0.7%

bonus
Real number (ℝ)

Distinct	9494
Distinct (%)	9.5%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	5000.5336

Minimum	0
Maximum	9999
Zeros	22
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	491
Q1	2508
median	5004
Q3	7504.25
95-th percentile	9514
Maximum	9999
Range	9999
Interquartile range (IQR)	4996.25

Descriptive statistics

Standard deviation	2891.5013
Coefficient of variation (CV)	0.57823855
Kurtosis	-1.1996851
Mean	5000.5336
Median Absolute Deviation (MAD)	2498
Skewness	-0.00068108839
Sum	5.0005336 × 10⁸
Variance	8360779.7
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
3899	40	< 0.1%
6995	39	< 0.1%
9583	36	< 0.1%
6230	36	< 0.1%
5379	35	< 0.1%
669	34	< 0.1%
217	34	< 0.1%
6775	33	< 0.1%
4165	33	< 0.1%
7140	33	< 0.1%
Other values (9484)	99647	99.6%

Value	Count	Frequency (%)
0	22	< 0.1%
1	11	< 0.1%
2	14	< 0.1%
3	7	< 0.1%
4	16	< 0.1%
5	18	< 0.1%
6	11	< 0.1%
8	12	< 0.1%
9	6	< 0.1%
10	21	< 0.1%

Value	Count	Frequency (%)
9999	12	< 0.1%
9998	18	< 0.1%
9997	2	< 0.1%
9996	7	< 0.1%
9995	3	< 0.1%
9994	3	< 0.1%
9993	15	< 0.1%
9992	14	< 0.1%
9991	13	< 0.1%
9990	23	< 0.1%

stock_options
Real number (ℝ)

Distinct	19093
Distinct (%)	19.1%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	15014.531

Minimum	0
Maximum	29998
Zeros	7
Zeros (%)	< 0.1%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	0
5-th percentile	1459
Q1	7463.75
median	14995
Q3	22530
95-th percentile	28481
Maximum	29998
Range	29998
Interquartile range (IQR)	15066.25

Descriptive statistics

Standard deviation	8664.1427
Coefficient of variation (CV)	0.57705051
Kurtosis	-1.2025961
Mean	15014.531
Median Absolute Deviation (MAD)	7533
Skewness	-0.0055165875
Sum	1.5014531 × 10⁹
Variance	75067369
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
10642	28	< 0.1%
24318	24	< 0.1%
14557	23	< 0.1%
14866	22	< 0.1%
5233	22	< 0.1%
25362	22	< 0.1%
20175	21	< 0.1%
814	21	< 0.1%
27437	21	< 0.1%
23970	21	< 0.1%
Other values (19083)	99775	99.8%

Value	Count	Frequency (%)
0	7	< 0.1%
1	2	< 0.1%
6	4	< 0.1%
8	3	< 0.1%
9	4	< 0.1%
12	3	< 0.1%
14	3	< 0.1%
15	3	< 0.1%
16	3	< 0.1%
17	12	< 0.1%

Value	Count	Frequency (%)
29998	2	< 0.1%
29997	4	< 0.1%
29996	6	< 0.1%
29995	6	< 0.1%
29994	4	< 0.1%
29993	11	< 0.1%
29991	6	< 0.1%
29990	6	< 0.1%
29989	4	< 0.1%
29984	3	< 0.1%

total_salary
Real number (ℝ)

High correlation

Distinct	29976
Distinct (%)	30.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	105189.4

Minimum	13732.471
Maximum	196335.84
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	13732.471
5-th percentile	48109.539
Q1	74890.961
median	105372.47
Q3	135233.16
95-th percentile	162065.98
Maximum	196335.84
Range	182603.37
Interquartile range (IQR)	60342.202

Descriptive statistics

Standard deviation	36335.187
Coefficient of variation (CV)	0.34542631
Kurtosis	-1.0074881
Mean	105189.4
Median Absolute Deviation (MAD)	30156.537
Skewness	-0.0069139211
Sum	1.051894 × 10¹⁰
Variance	1.3202458 × 10⁹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
64334.52187	4	< 0.1%
128905.6789	4	< 0.1%
106850.9659	4	< 0.1%
151561.1	4	< 0.1%
134864.555	4	< 0.1%
139785.2998	4	< 0.1%
151348.7951	4	< 0.1%
85420.40669	4	< 0.1%
124781.3966	4	< 0.1%
44949.2559	4	< 0.1%
Other values (29966)	99960	> 99.9%

Value	Count	Frequency (%)
13732.47075	3	< 0.1%
15766.39166	3	< 0.1%
16312.83968	4	< 0.1%
17630.64876	3	< 0.1%
17930.1565	3	< 0.1%
18417.2457	2	< 0.1%
18826.42532	4	< 0.1%
18904.66565	3	< 0.1%
19162.07058	3	< 0.1%
19991.32945	2	< 0.1%

Value	Count	Frequency (%)
196335.8389	4	< 0.1%
194090.636	4	< 0.1%
193371.2468	4	< 0.1%
191967.2556	2	< 0.1%
191889.8664	4	< 0.1%
189131.5345	3	< 0.1%
188963.1098	4	< 0.1%
188712.7583	4	< 0.1%
188359.1604	3	< 0.1%
188335.4938	4	< 0.1%

salary_in_usd
Real number (ℝ)

High correlation

Distinct	29976
Distinct (%)	30.0%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	103339.98

Minimum	221.00695
Maximum	2354698.2
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	221.00695
5-th percentile	904.53934
Q1	48338.066
median	91291.878
Q3	133356.75
95-th percentile	190884.52
Maximum	2354698.2
Range	2354477.2
Interquartile range (IQR)	85018.679

Descriptive statistics

Standard deviation	146128.71
Coefficient of variation (CV)	1.4140579
Kurtosis	69.95742
Mean	103339.98
Median Absolute Deviation (MAD)	42484.123
Skewness	7.4038024
Sum	1.0333998 × 10¹⁰
Variance	2.1353601 × 10¹⁰
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
83634.87843	4	< 0.1%
141796.2468	4	< 0.1%
106850.9659	4	< 0.1%
1818.7332	4	< 0.1%
1483510.105	4	< 0.1%
104838.9749	4	< 0.1%
113511.5963	4	< 0.1%
939624.4735	4	< 0.1%
162215.8156	4	< 0.1%
5393.910708	4	< 0.1%
Other values (29966)	99960	> 99.9%

Value	Count	Frequency (%)
221.0069484	2	< 0.1%
239.8959534	2	< 0.1%
290.9995072	3	< 0.1%
319.7131564	4	< 0.1%
320.4255285	2	< 0.1%
326.7661597	4	< 0.1%
332.1927027	4	< 0.1%
332.8976715	3	< 0.1%
334.4453301	4	< 0.1%
349.7129345	2	< 0.1%

Value	Count	Frequency (%)
2354698.235	4	< 0.1%
2281888.063	3	< 0.1%
2244156.761	4	< 0.1%
2201626.136	3	< 0.1%
2086524.059	4	< 0.1%
2042707.312	3	< 0.1%
2029208.849	1	< 0.1%
1994731.507	4	< 0.1%
1932229.115	2	< 0.1%
1925146.241	3	< 0.1%

currency
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.7 MiB

GBP	20202
USD	20084
CAD	20008
INR	19934
EUR	19772

Length

Max length	3
Median length	3
Mean length	3
Min length	3

Characters and Unicode

Total characters	300000
Distinct characters	12
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	USD
2nd row	EUR
3rd row	EUR
4th row	USD
5th row	INR

Common Values

Value	Count	Frequency (%)
GBP	20202	20.2%
USD	20084	20.1%
CAD	20008	20.0%
INR	19934	19.9%
EUR	19772	19.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
gbp	20202	20.2%
usd	20084	20.1%
cad	20008	20.0%
inr	19934	19.9%
eur	19772	19.8%

Most occurring characters

Value	Count	Frequency (%)
D	40092	13.4%
U	39856	13.3%
R	39706	13.2%
G	20202	6.7%
P	20202	6.7%
B	20202	6.7%
S	20084	6.7%
C	20008	6.7%
A	20008	6.7%
I	19934	6.6%
Other values (2)	39706	13.2%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
D	40092	13.4%
U	39856	13.3%
R	39706	13.2%
G	20202	6.7%
P	20202	6.7%
B	20202	6.7%
S	20084	6.7%
C	20008	6.7%
A	20008	6.7%
I	19934	6.6%
Other values (2)	39706	13.2%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
D	40092	13.4%
U	39856	13.3%
R	39706	13.2%
G	20202	6.7%
P	20202	6.7%
B	20202	6.7%
S	20084	6.7%
C	20008	6.7%
A	20008	6.7%
I	19934	6.6%
Other values (2)	39706	13.2%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	300000	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
D	40092	13.4%
U	39856	13.3%
R	39706	13.2%
G	20202	6.7%
P	20202	6.7%
B	20202	6.7%
S	20084	6.7%
C	20008	6.7%
A	20008	6.7%
I	19934	6.6%
Other values (2)	39706	13.2%

education
Unsupported

Missing Rejected Unsupported

Missing	100000
Missing (%)	100.0%
Memory size	781.4 KiB

skills
Unsupported

Missing Rejected Unsupported

Missing	100000
Missing (%)	100.0%
Memory size	781.4 KiB

conversion_rate
Categorical

High correlation

Distinct	5
Distinct (%)	< 0.1%
Missing	0
Missing (%)	0.0%
Memory size	5.8 MiB

1.3	20202
1.0	20084
0.75	20008
0.012	19934
1.1	19772

Length

Max length	5
Median length	3
Mean length	3.59876
Min length	3

Characters and Unicode

Total characters	359876
Distinct characters	7
Distinct categories	1 ?
Distinct scripts	1 ?
Distinct blocks	1 ?

The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique	0 ?
Unique (%)	0.0%

Sample

1st row	1.0
2nd row	1.1
3rd row	1.1
4th row	1.0
5th row	0.012

Common Values

Value	Count	Frequency (%)
1.3	20202	20.2%
1.0	20084	20.1%
0.75	20008	20.0%
0.012	19934	19.9%
1.1	19772	19.8%

Length

Histogram of lengths of the category

Common Values (Plot)

Value	Count	Frequency (%)
1.3	20202	20.2%
1.0	20084	20.1%
0.75	20008	20.0%
0.012	19934	19.9%
1.1	19772	19.8%

Most occurring characters

Value	Count	Frequency (%)
.	100000	27.8%
1	99764	27.7%
0	79960	22.2%
3	20202	5.6%
7	20008	5.6%
5	20008	5.6%
2	19934	5.5%

Most occurring categories

Value	Count	Frequency (%)
(unknown)	359876	100.0%

Most frequent character per category

(unknown)

Value	Count	Frequency (%)
.	100000	27.8%
1	99764	27.7%
0	79960	22.2%
3	20202	5.6%
7	20008	5.6%
5	20008	5.6%
2	19934	5.5%

Most occurring scripts

Value	Count	Frequency (%)
(unknown)	359876	100.0%

Most frequent character per script

(unknown)

Value	Count	Frequency (%)
.	100000	27.8%
1	99764	27.7%
0	79960	22.2%
3	20202	5.6%
7	20008	5.6%
5	20008	5.6%
2	19934	5.5%

Most occurring blocks

Value	Count	Frequency (%)
(unknown)	359876	100.0%

Most frequent character per block

(unknown)

Value	Count	Frequency (%)
.	100000	27.8%
1	99764	27.7%
0	79960	22.2%
3	20202	5.6%
7	20008	5.6%
5	20008	5.6%
2	19934	5.5%

adjusted_total_usd
Real number (ℝ)

High correlation

Distinct	81716
Distinct (%)	81.7%
Missing	0
Missing (%)	0.0%
Infinite	0
Infinite (%)	0.0%
Mean	245166.84

Minimum	164.78965
Maximum	4108339.9
Zeros	0
Zeros (%)	0.0%
Negative	0
Negative (%)	0.0%
Memory size	781.4 KiB

Quantile statistics

Minimum	164.78965
5-th percentile	934.95383
Q1	49495.711
median	95188.148
Q3	143031.64
95-th percentile	1664767.8
Maximum	4108339.9
Range	4108175.1
Interquartile range (IQR)	93535.929

Descriptive statistics

Standard deviation	591820.23
Coefficient of variation (CV)	2.413949
Kurtosis	15.302569
Mean	245166.84
Median Absolute Deviation (MAD)	46891.765
Skewness	3.9142544
Sum	2.4516684 × 10¹⁰
Variance	3.5025118 × 10¹¹
Monotonicity	Not monotonic

Histogram with fixed size bins (bins=50)

Value	Count	Frequency (%)
93003.79188	4	< 0.1%
1948.490432	4	< 0.1%
80804.65607	4	< 0.1%
1318.369372	4	< 0.1%
65559.85655	4	< 0.1%
102790.098	4	< 0.1%
93225.57741	4	< 0.1%
97072.98433	4	< 0.1%
162614.2464	4	< 0.1%
1599.449156	4	< 0.1%
Other values (81706)	99960	> 99.9%

Value	Count	Frequency (%)
164.7896491	1	< 0.1%
195.7540761	1	< 0.1%
215.161878	1	< 0.1%
221.0069484	1	< 0.1%
225.9171038	1	< 0.1%
226.8559879	1	< 0.1%
229.9448469	1	< 0.1%
239.8959534	1	< 0.1%
248.658584	1	< 0.1%
259.394489	1	< 0.1%

Value	Count	Frequency (%)
4108339.899	1	< 0.1%
4106341.799	1	< 0.1%
4105499.399	1	< 0.1%
4105384.999	1	< 0.1%
4104767.499	1	< 0.1%
4104663.499	1	< 0.1%
4104229.299	1	< 0.1%
4103031.999	1	< 0.1%
4102554.899	1	< 0.1%
4102331.299	1	< 0.1%

	adjusted_total_usd	base_salary	bonus	company_location	company_size	conversion_rate	currency	employment_type	experience_level	job_title	remote_ratio	salary_currency	salary_in_usd	stock_options	total_salary	years_experience
adjusted_total_usd	1.000	0.613	0.039	0.003	0.000	0.123	0.123	1.000	1.000	0.004	0.000	0.000	0.291	0.109	0.488	0.003
base_salary	0.613	1.000	0.008	0.000	0.009	0.004	0.004	1.000	1.000	0.001	0.005	0.000	0.463	0.005	0.787	0.001
bonus	0.039	0.008	1.000	0.017	0.020	0.000	0.000	0.015	0.020	0.013	0.011	0.016	0.046	-0.009	0.081	-0.003
company_location	0.003	0.000	0.017	1.000	0.011	0.005	0.005	0.014	0.009	0.013	0.009	0.010	0.016	0.016	0.013	0.016
company_size	0.000	0.009	0.020	0.011	1.000	0.002	0.002	0.004	0.000	0.014	0.006	0.003	0.016	0.020	0.008	0.015
conversion_rate	0.123	0.004	0.000	0.005	0.002	1.000	1.000	0.003	0.000	0.000	0.000	0.003	0.005	0.000	0.000	0.000
currency	0.123	0.004	0.000	0.005	0.002	1.000	1.000	0.003	0.000	0.000	0.000	0.003	0.005	0.000	0.000	0.000
employment_type	1.000	1.000	0.015	0.014	0.004	0.003	0.003	1.000	0.012	0.015	0.011	0.014	0.018	0.016	0.014	0.019
experience_level	1.000	1.000	0.020	0.009	0.000	0.000	0.000	0.012	1.000	0.000	0.006	0.010	0.068	0.017	0.759	0.014
job_title	0.004	0.001	0.013	0.013	0.014	0.000	0.000	0.015	0.000	1.000	0.012	0.012	0.010	0.013	0.008	0.011
remote_ratio	0.000	0.005	0.011	0.009	0.006	0.000	0.000	0.011	0.006	0.012	1.000	0.009	0.015	0.010	0.011	0.016
salary_currency	0.000	0.000	0.016	0.010	0.003	0.003	0.003	0.014	0.010	0.012	0.009	1.000	0.050	0.011	0.018	0.016
salary_in_usd	0.291	0.463	0.046	0.016	0.016	0.005	0.005	0.018	0.068	0.010	0.015	0.050	1.000	0.133	0.587	0.005
stock_options	0.109	0.005	-0.009	0.016	0.020	0.000	0.000	0.016	0.017	0.013	0.010	0.011	0.133	1.000	0.232	0.002
total_salary	0.488	0.787	0.081	0.013	0.008	0.000	0.000	0.014	0.759	0.008	0.011	0.018	0.587	0.232	1.000	0.004
years_experience	0.003	0.001	-0.003	0.016	0.015	0.000	0.000	0.019	0.014	0.011	0.016	0.016	0.005	0.002	0.004	1.000

A simple visualization of nullity by column.

Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

	job_title	experience_level	employment_type	company_size	company_location	remote_ratio	salary_currency	years_experience	base_salary	bonus	stock_options	total_salary	salary_in_usd	currency	education	skills	conversion_rate	adjusted_total_usd
0	Data Analyst	Mid	Contract	Medium	Germany	0	INR	13	68407.451747	1100	19325	88832.451747	1065.989421	USD	NaN	NaN	1.000	88832.451747
1	DevOps Engineer	Mid	Contract	Small	India	100	GBP	9	64193.117775	2194	19164	85551.117775	111216.453107	EUR	NaN	NaN	1.100	94106.229552
2	Research Scientist	Lead	None	Medium	Germany	0	EUR	19	136071.842899	3206	12735	152012.842899	167214.127189	EUR	NaN	NaN	1.100	167214.127189
3	Software Engr	Lead	Full-time	Large	India	50	INR	7	141850.905335	9594	11158	162602.905335	19512.348640	USD	NaN	NaN	1.000	162602.905335
4	Software Engr	Lead	Intern	Large	Germany	100	INR	10	121841.163226	6796	806	129443.163226	1553.317959	INR	NaN	NaN	0.012	1553.317959
5	Data Analyst	Mid	Contract	Large	UK	0	EUR	14	58008.485674	6419	22462	86889.485674	95578.434242	EUR	NaN	NaN	1.100	95578.434242
6	Dt Scientist	Lead	Intern	Small	Canada	0	EUR	15	126109.482124	5074	1660	132843.482124	146127.830336	INR	NaN	NaN	0.012	1594.121785
7	DevOps Engineer	Lead	Intern	Medium	India	50	INR	19	121069.476205	8075	27588	156732.476205	1880.789714	USD	NaN	NaN	1.000	156732.476205
8	ML Enginer	None	None	Large	Canada	50	GBP	12	92078.012261	5997	9567	107642.012261	139934.615939	CAD	NaN	NaN	0.750	80731.509196
9	Data Analyst	Senior	Full-time	Large	India	0	CAD	7	105153.994816	717	22369	128239.994816	96179.996112	INR	NaN	NaN	0.012	1538.879938

	job_title	experience_level	employment_type	company_size	company_location	remote_ratio	salary_currency	years_experience	base_salary	bonus	stock_options	total_salary	salary_in_usd	currency	education	skills	conversion_rate	adjusted_total_usd
99990	Sofware Engneer	Mid	Part-time	Large	Remote	100	EUR	9	6.571535e+04	702	9020	75437.352858	82981.088144	GBP	NaN	NaN	1.30	9.806856e+04
99991	Data Analyst	None	None	Small	UK	50	EUR	2	2.957128e+06	2131	14034	85901.600346	94491.760381	CAD	NaN	NaN	0.75	2.229969e+06
99992	Dt Scientist	Lead	Intern	Large	India	50	EUR	18	1.231832e+05	2241	26285	151709.207008	166880.127709	EUR	NaN	NaN	1.10	1.668801e+05
99993	DevOps Engineer	None	None	Large	UK	0	USD	10	1.314279e+06	4886	10910	30937.665857	30937.665857	CAD	NaN	NaN	0.75	9.975562e+05
99994	ML Engr	Junior	Intern	Large	USA	50	GBP	18	3.677303e+04	3392	1443	41608.027335	54090.435535	USD	NaN	NaN	1.00	4.160803e+04
99995	DevOps Engineer	Mid	Full-time	Large	India	50	EUR	14	7.533198e+04	3260	29331	107922.984608	118715.283069	USD	NaN	NaN	1.00	1.079230e+05
99996	ML Enginer	Senior	Contract	Medium	Canada	50	USD	4	1.064161e+05	5777	477	112670.051623	112670.051623	EUR	NaN	NaN	1.10	1.239371e+05
99997	Machine Learning Engr	Senior	Part-time	Medium	UK	50	GBP	2	1.033159e+05	9638	24124	137077.889785	178201.256720	USD	NaN	NaN	1.00	1.370779e+05
99998	Research Scientist	Junior	Intern	Medium	Remote	100	CAD	14	3.749326e+04	8990	27729	74212.261693	55659.196269	CAD	NaN	NaN	0.75	5.565920e+04
99999	Research Scientist	None	None	Large	Germany	0	CAD	7	5.854700e+04	6792	11105	76443.997791	57332.998343	CAD	NaN	NaN	0.75	5.733300e+04

Most frequently occurring

	job_title	experience_level	employment_type	company_size	company_location	remote_ratio	salary_currency	years_experience	base_salary	bonus	stock_options	total_salary	salary_in_usd	currency	conversion_rate	adjusted_total_usd	# duplicates
520	Data Analyst	Junior	Part-time	Small	Remote	0	USD	6	37651.293995	7538	3957	49146.293995	49146.293995	USD	1.000	49146.293995	4
603	Data Analyst	Lead	Contract	Large	Remote	100	EUR	8	117167.137092	9051	14398	140616.137092	154677.750801	USD	1.000	140616.137092	4
817	Data Analyst	Lead	Full-time	Small	Remote	0	INR	16	133376.596848	220	13970	147566.596848	1770.799162	INR	0.012	1770.799162	4
1046	Data Analyst	Lead	Part-time	Medium	Remote	0	USD	3	142102.586722	2310	12957	157369.586722	157369.586722	USD	1.000	157369.586722	4
1107	Data Analyst	Lead	Part-time	Small	UK	0	INR	2	135164.875684	4076	23569	162809.875684	1953.718508	GBP	1.300	211652.838389	4
1447	Data Analyst	Mid	Intern	Large	UK	100	GBP	11	85161.307069	3854	19045	108060.307069	140478.399189	EUR	1.100	118866.337776	4
1521	Data Analyst	Mid	Intern	Small	Germany	50	INR	11	67103.531689	1896	8258	77257.531689	927.090380	GBP	1.300	100434.791196	4
1817	Data Analyst	Senior	Full-time	Large	Canada	0	INR	1	96240.369622	6105	17757	120102.369622	1441.228435	CAD	0.750	90076.777217	4
2062	Data Analyst	Senior	Intern	Small	UK	100	CAD	6	100907.380555	3171	18496	122574.380555	91930.785416	GBP	1.300	159346.694721	4
2201	Data Analyst	Senior	Part-time	Small	USA	50	EUR	14	95882.074292	7083	10350	113315.074292	124646.581721	USD	1.000	113315.074292	4

Overview

Variables

Common Values

Length

Most occurring characters

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Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values

Length

Common Values (Plot)

Most occurring characters

Most occurring categories

Most frequent character per category

(unknown)

Most occurring scripts

Most frequent character per script

(unknown)

Most occurring blocks

Most frequent character per block

(unknown)

Common Values